Skip to main content
Glama

get_context

By providing a task hint, fetch ranked context from the Project Brain to resolve design questions, look up standards, or start tasks.

Instructions

Retrieves relevant, ranked context from the Project Brain using semantic context selection. Useful when starting a task, resolving design questions, or looking up project standards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_hintNoA hint or description of the current task to rank relevance (e.g. 'database migration', 'auth cookies').
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description must cover behavior. It mentions semantic selection and ranking, but lacks details on limitations, granularity of context, or performance characteristics. Adequate but not thorough.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with action, then use cases. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, but the description gives enough for a simple retrieval tool. Could mention return format or number of results, but not essential for basic usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a good parameter description. The description adds value by explaining the intent of semantic ranking, which complements the hint parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves ranked context from Project Brain using semantic selection, with specific use cases. It distinguishes from siblings like propose_knowledge and get_history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly lists when to use (starting a task, resolving design questions, looking up project standards). Does not mention when not to use or alternatives, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jayasukuv11-beep/agenthelm'

If you have feedback or need assistance with the MCP directory API, please join our Discord server